Company Overview
At Bridgenext, we engineer Growth Operating Systems.
Most enterprises have spent millions on their revenue stack and still aren't seeing the growth they expected.They have tools that function, but no system that wins.
We help growth-hungry companies close that gap by turning fragmented platforms, siloed teams, and disconnected data into one integrated Growth OS.
More than a technology company or marketing agency, we're a integral digital consultancy with experts in engineering, data, AI, creative and more.
Our teams are made up of experts who believe in engineering impact, starting with putting people at the center of everything we do.
Every team member directly shapes our work, culture, and values.
Nothing matters more to us than a kind, respectful, fulfilling environment that supports everyone.
Our flexible, inclusive culture gives you the autonomy, resources, and opportunities to thrive.
Position Description
The AI Technical Lead is a hands-on technical leadership role responsible for designing, developing, and delivering production-grade AI solutions.
The role combines strong software engineering and solution architecture expertise with hands-on experience in Generative AI, LLMs, RAG, Agentic AI, Model Context Protocol (MCP), AI-enabled SDLCEventBridge, Step Functions, SQS/SNS, DynamoDB, and Kinesis for real‐time event processing and customer journey orchestrationTreat accessibility as a first‐class requirement: WCAG 2.1 AA compliant components, automated axe‐core/Playwright accessibility scanning, and support for VPAT/Section 508 documentation on government and enterprise engagementsInfrastructure, Delivery & QualityAuthor infrastructure as code with AWS CDK (TypeScript) as the primary tool and CloudFormation or Terraform where customer environments require themBuild and maintain CI/CD pipelines (GitHub Actions) and automated test suites: Jest/Vitest unit tests, Playwright E2E and API tests, and integration tests against live Connect instancesFollow phased rollout patterns for production contact centers where downtime is measured in missed calls; write the runbooks that make cutovers boringInstrument monitoring and alerting (CloudWatch metrics, alarms, and custom dashboards across voice, chat, tasks, queues, agents, Lambda, and AI agents) and participate in production incident triageApply security and compliance baselines in everything you ship: least‐privilege IAM, DevSecOps scanning, encryption standardsWork directly with customer engineering teams: pair on integrations, run technical working sessions, demo completed workstreams,



and lead knowledge transfer so customers can operate what you buildContribute to architecture decisions within your workstream; evaluate native Connect capability before custom builds ("configuration over customization"), surface trade‐offs to practice leads, and document decisionsPerform code reviews, uphold engineering standards, and mentor junior and mid‐level CX engineers through pairing and review feedbackContribute reusable assets back to the practice, shared CDK constructs, skills/plugins, demo environments, and internal tooling, so the next engagement starts further aheadSupport pre‐sales when needed: build proof‐of‐concept demos and provide implementation‐grounded input on estimates and SOW technical scopeYour Qualifications7+ years of hands‐on software engineering experience, including 2+ years building on Amazon Connect or comparable CCaaS platforms at enterprise scaleStrong, current Amazon Connect skills: contact flows, routing, Cases and Tasks, Contact Lens, Customer Profiles, Streams API, and the Connect data/analytics stackHands‐on experience with conversational and generative AI, Amazon Lex plus LLM‐ based development (Amazon Bedrock, Q in Connect, or equivalent), including prompt engineering and tool callingStrong TypeScript/Node.js and Python; production React experience; solid AWS serverless engineering (Lambda, EventBridge, API Gateway, DynamoDB, Step Functions, Kinesis)Infrastructure as code proficiency with AWS CDK or Terraform, including multi‐ account deployment patternsExperience shipping and supporting production systems, testing discipline, observability instrumentation, and incident debugging across the full stackClear communication with customer‐facing composure, able to demo your work, explain trade‐offs, and run working sessions with client engineersPreferred QualificationsAWS certifications (Solutions Architect, Developer, or ML/Connect‐relevant Specialty)Contact center migration experience (Avaya, Genesys, Cisco, Oracle, or Salesforce to Amazon Connect)Experience in regulated verticals: government/public sector (Section 508, FedRAMP), healthcare (HIPAA), or financial servicesContact center operations fluency: WFM concepts (forecasting, scheduling, adherence), quality management, outbound compliance (TCPA), and CX KPIs (containment, AHT, CSAT, SLA/TAT)Experience with AI observability (trace correlation, token/cost attribution, latency profiling) or accessibility engineering (WCAG 2.1 AA,



axe‐core automation)Consulting or client‐delivery background Pay in USDGenerous holidays and flexible PTOPaid for exams and certifications Peer bonus awards State of the art laptop and tools Equipment & Office Stipend Annual stipend for Learning and Development Work with an amazing worldwide team and in an incredible corporate cultureNOTE: This position requires current legal authorization to work in the country where this position is located.
Caylent is not able to sponsor visa or work permit applications at this time.At Caylent, we are committed to fair, transparent, and inclusive hiring practices.
As part of our recruitment process, we may use artificial intelligence (AI) tools or automated systems to assist with the screening and evaluation of applications to help match candidate qualifications with job requirements.These tools are designed to support — not replace — human decision‐making.
Final hiring decisions are always made by our trained recruitment professionals.If an AI or automated tool is used during your application process, it will only be in accordance with applicable laws and regulations, and your information will be handled in a secure and confidential manner.If you have any questions, please contact ****** is a place where everyone belongs.
We celebrate diversity and are committed to creating an inclusive environment for all employees.
Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities.
So, regardless of how your diversity expresses itself, you can find a home here at Caylent.We are proud to be an equal opportunity employer.
We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics.
If you would like to request an accommodation due to a disability, please contact us at ****** Caylent, we are committed to fair, transparent, and inclusive hiring practices.
As part of our recruitment process, we may use artificial intelligence (AI) tools or automated systems to assist with the screening and evaluation of applications to help match candidate qualifications with job requirements.These tools are designed to support — not replace — human decision‐making.
Final hiring decisions are always made by our trained recruitment professionals.If an AI or automated tool is used during your application process, it will only be in accordance with applicable laws and regulations, and your information will be handled in a secure and confidential manner.If you have any questions, please contact ****** is
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📌 Ai Technical Lead (Rosario)
🏢 Caylent
📍 Rosario